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geolffrey / openai

OpenAI ChatGPT, Whisper, GPT-3 , GPT-4, Azure OpenAI and DALL-E dotnet SDK

Home Page:https://betalgo.github.io/openai/

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Dotnet SDK for OpenAI ChatGPT, Whisper, GPT-4 and DALL·E

Betalgo.OpenAI

Install-Package Betalgo.OpenAI

Dotnet SDK for OpenAI Chat GPT, Whisper, GPT-4 ,GPT-3 and DALL·E
Unofficial.
OpenAI doesn't have any official .Net SDK.

This library used to known as Betalgo.OpenAI.GPT3, now it has a new package Id Betalgo.OpenAI.

Checkout the wiki page:

https://github.com/betalgo/openai/wiki

Features

For changelogs please go to end of the document.

Visit https://openai.com/ to get your API key. Also documentation with more detail is avaliable there.

Sample Usages

The repository contains a sample project named OpenAI.Playground that you can refer to for a better understanding of how the library works. However, please exercise caution while experimenting with it, as some of the test methods may result in unintended consequences such as file deletion or fine tuning.

!! It is highly recommended that you use a separate account instead of your primary account while using the playground. This is because some test methods may add or delete your files and models, which could potentially cause unwanted issues. !!

Your API Key comes from here --> https://platform.openai.com/account/api-keys

Your Organization ID comes from here --> https://platform.openai.com/account/org-settings

Without using dependency injection:

var openAiService = new OpenAIService(new OpenAiOptions()
{
    ApiKey =  Environment.GetEnvironmentVariable("MY_OPEN_AI_API_KEY")
});

Using dependency injection:

secrets.json:

 "OpenAIServiceOptions": {
    //"ApiKey":"Your api key goes here"
    //,"Organization": "Your Organization Id goes here (optional)"
  },

(How to use user secret ?
Right click your project name in "solution explorer" then click "Manage User Secret", it is a good way to keep your api keys)

Program.cs

serviceCollection.AddOpenAIService();

OR
Use it like below but do NOT put your API key directly to your source code.

Program.cs

serviceCollection.AddOpenAIService(settings => { settings.ApiKey = Environment.GetEnvironmentVariable("MY_OPEN_AI_API_KEY"); });

After injecting your service you will be able to get it from service provider

var openAiService = serviceProvider.GetRequiredService<IOpenAIService>();

You can set default model(optional):

openAiService.SetDefaultModelId(Models.Davinci);

Chat Gpt Sample

var completionResult = await openAiService.ChatCompletion.CreateCompletion(new ChatCompletionCreateRequest
{
    Messages = new List<ChatMessage>
    {
        ChatMessage.FromSystem("You are a helpful assistant."),
        ChatMessage.FromUser("Who won the world series in 2020?"),
        ChatMessage.FromAssistant("The Los Angeles Dodgers won the World Series in 2020."),
        ChatMessage.FromUser("Where was it played?")
    },
    Model = Models.ChatGpt3_5Turbo,
    MaxTokens = 50//optional
});
if (completionResult.Successful)
{
   Console.WriteLine(completionResult.Choices.First().Message.Content);
}

Completions Sample

var completionResult = await openAiService.Completions.CreateCompletion(new CompletionCreateRequest()
{
    Prompt = "Once upon a time",
    Model = Models.TextDavinciV3
});

if (completionResult.Successful)
{
    Console.WriteLine(completionResult.Choices.FirstOrDefault());
}
else
{
    if (completionResult.Error == null)
    {
        throw new Exception("Unknown Error");
    }
    Console.WriteLine($"{completionResult.Error.Code}: {completionResult.Error.Message}");
}

Completions Stream Sample

var completionResult = openAiService.Completions.CreateCompletionAsStream(new CompletionCreateRequest()
   {
      Prompt = "Once upon a time",
      MaxTokens = 50
   }, Models.Davinci);

   await foreach (var completion in completionResult)
   {
      if (completion.Successful)
      {
         Console.Write(completion.Choices.FirstOrDefault()?.Text);
      }
      else
      {
         if (completion.Error == null)
         {
            throw new Exception("Unknown Error");
         }

         Console.WriteLine($"{completion.Error.Code}: {completion.Error.Message}");
      }
   }
   Console.WriteLine("Complete");

DALL·E Sample

var imageResult = await openAiService.Image.CreateImage(new ImageCreateRequest
{
    Prompt = "Laser cat eyes",
    N = 2,
    Size = StaticValues.ImageStatics.Size.Size256,
    ResponseFormat = StaticValues.ImageStatics.ResponseFormat.Url,
    User = "TestUser"
});


if (imageResult.Successful)
{
    Console.WriteLine(string.Join("\n", imageResult.Results.Select(r => r.Url)));
}

Notes:

Please note that due to time constraints, I was unable to thoroughly test all of the methods or fully document the library. If you encounter any issues, please do not hesitate to report them or submit a pull request - your contributions are always appreciated.

I initially developed this SDK for my personal use and later decided to share it with the community. As I have not maintained any open-source projects before, any assistance or feedback would be greatly appreciated. If you would like to contribute in any way, please feel free to reach out to me with your suggestions.

I will always be using the latest libraries, and future releases will frequently include breaking changes. Please take this into consideration before deciding to use the library. I want to make it clear that I cannot accept any responsibility for any damage caused by using the library. If you feel that this is not suitable for your purposes, you are free to explore alternative libraries or the OpenAI Web-API.

I am incredibly busy. If I forgot your name, please accept my apologies and let me know so I can add it to the list.

Changelog

6.8.5

  • Mostly bug fixes
  • Fixed Moderation functions. betalgo#214 thanks to @scolmarg @AbdelAzizMohamedMousa @digitalvir
  • Added File Stream support for Whisper, Thanks to @Swimburger
  • Fixed Whisper default response type, Thanks to @Swimburger
  • Performance improvements and code clean up,again Thanks to @Swimburger 👏
  • Code clenaup, Thanks to @WeihanLi

6.8.4

  • Released update message about nuget Package ID change

6.8.3

  • Breaking Changes:

    • I am going to update library namespace from Betalgo.OpenAI.GPT3 to OpenAI.GPT3. This is the first time I am trying to update my nuget packageId. If something broken, please be patient. I will be fixing it soon. Reverted namespace change, maybe next time.

    • Small Typo change on model name Model.GPT4 to Model.GPT_4

    • ServiceCollection.AddOpenAIService(); now returns IHttpClientBuilder which means it allows you to play with httpclient object. Thanks for all the reporters and @LGinC. Here is a little sample

ServiceCollection.AddOpenAIService()
.ConfigurePrimaryHttpMessageHandler((s => new HttpClientHandler
{
    Proxy = new WebProxy("1.1.1.1:1010"),
});

6.8.1

  • Breaking Changes: Typo fixed in Content Moderation CategoryScores, changing Sexualminors to SexualMinors. Thanks to @HowToDoThis.
  • Tokenizer changes thanks to @IS4Code.
    • Performance improvement
    • Introduced a new method TokenCount that returns the number of tokens instead of a list.
    • Breaking Changes: Removed overridden methods that were basically string conversions. I think these methods were not used much and it is fairly easy to do these conversions outside of the method. If you disagree, let me know and I can consider adding them back.

6.8.0

  • Added .Net Standart Support, Massive thanks to @pdcruze and @ricaun

About

OpenAI ChatGPT, Whisper, GPT-3 , GPT-4, Azure OpenAI and DALL-E dotnet SDK

https://betalgo.github.io/openai/

License:MIT License

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